Entry requirements

BSc First Class or 2:1 or equivalent in a relevant scientific discpline which would normally be one of the biological sciences or natural sciences. Subject to University regulations, MBChB or BDS students who had completed 3 years of stuy would be eligible to intercalate.

Demonstration of basic A-level mathematics or equivalent level of numeracy through undergraduate degree or other relevant experience will also be required.

English language requirement: IELTS 6.5 overall, with no less than 6.0 in any single compenent. Alternative English language requirements that are acceptable are:

  • TOEFL (Test of English as a Foreign Language) of 92 overall, with no less than 21 in listening, 21 in reading, 23 in speaking and 22 in writing
  • Pearson (Academic) of 64 overall with no less than 60 in any component
  • Cambridge Advanced English (CAE) of 176 overall with no less than 169 in any component
  • Trinity College Integrated Skills in English of a Pass in ISE II or above (if taken in the UK)

Months of entry

September

Course content

Interdisciplinary training in biomedical data analysis

Biomedical research generates large volumes of complex data, encompassing genomics, proteomics, metabolomics, phenotypic data, epidemiology and clinical trial investigations, to inform our understanding of disease mechanisms.

This programme will equip the next generation of scientists with the skills to utilise these data sets in the development of precision medicine. These data impact on the creation of new tailored therapies, aiding earlier diagnosis and the selection of optimal treatment regimens for patients who may be suffering from disorders ranging from common disorders of complex aetiology (such as cancer or cardiovascular disease) to the more rare Mendelian disease (such as muscular dystrophy).

This distinctive programme has been designed to directly meet research needs in industry and academia where there is a need for scientists with both biological knowledge and the computational, statistical and analytical skills to drive genomic precision medicine.

Cutting-edge data science research at Leeds

The University of Leeds is now a partner of The Alan Turing Institute, the UK’s prestigious national institute for data science. The partnership is spearheaded by the Leeds Institute for Data Analytics (LIDA) with contributions from researchers and data scientists across the University. Research in LIDA sheds new light on health and human behaviour and the action needed to tackle a wide range of medical, social and environmental problems.

Our students will benefit from a research-led education at the forefront of the most cutting-edge data analytics research at Leeds.

LIDA is supported by national programmes such as the MRC’s Medical Bioinformatics who invested £5.7 million to enable ground-breaking and productive bioinformatics research at the interface between the clinic, health records and high volume molecular and phenotypic data sets.

Leeds has also recently been the recipient of huge investments from funding councils across the UK, such as the recent £10 million investment in artificial intelligence and digital pathology.

Fees and funding

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There may be help for students in the form of loans and non-repayable grants from the University and from the government. Find out more at Masters funding overview.

Qualification, course duration and attendance options

  • MSc
    part time
    n/a months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Admissions Team
Email
fbspgt@leeds.ac.uk
Phone
+44 (0)113 343 1418